Important Dates

Deadline for abstract submission:
June 13, 2003

Deadline for paper submission:
June 18, 2003

Notification of acceptance: July
4, 2003

Deadline for final contributions
July 11, 2003

Workshop Goals

The Web presents a key driving force
for a large spectrum of applications in which a user interacts with a company,
a governmental authority, a non-governmental organization, or another non-profit
institution. The application providers should combine knowledge about user expectations
and Web semantics, in order to form personalised, user-friendly, and business-optimal
services. Enabling methodologies include data mining, text mining, and ontology
learning. Recipient technologies include user profiling, usage analysis, ontology
extraction for the Semantic Web, intelligent search and recommendation systems
based on user preferences, page content, and site semantics.

The EWMF'03 workshop is organised
by the KDNet interest
group Web Mining Forum on knowledge discovery from and about the Web. It
aims to bring together various perspectives on Web mining and stress the synergy
effects between Web usage mining, Web content mining and Web intelligence, and
of Semantic Web Mining, which is the subject of a workshop series in the ECML/PKDD
conference since 2001.

To ensure an interactive atmosphere,
we plan to complement the presentations of workshop contributions by a panel
discussion. This panel will identify the most important common and complementary
research subjects of the researchers in the Web mining subdomains and will promote
mutual understanding and cross-fertilisation among research groups.

Topics of interest

EWMF'03 calls for international contributions
related to Web content analysis, ontology learning for Web content and for the
Semantic Web, Web usage mining, mining the Semantic Web, and the exploitation
of the mining results in e-applications. These include the following topics:

Enabling methodologies

Data warehousing for Web data

Ontology and instance learning

Text and hypertext classification

Web usage mining taking content/structure
into account

Web content and structure mining

Information extraction

Using the syntactic, vocabulary
and logical layer of the Semantic Web for mining